def resolve_lp_get_dfg(PS_matrix, duration_matrix, activities, activities_counter):
"""
Resolves a LP problem to get a DFG
Parameters
---------------
PS_matrix
Precede-succeed matrix
duration_matrix
Duration matrix
activities
List of activities of the log
activities_counter
Counter for the activities of the log
Returns
---------------
dfg
Frequency DFG
performance_dfg
Performance DFG
"""
C_matrix = cm_util.get_c_matrix(PS_matrix, duration_matrix, activities, activities_counter)
dfg, performance_dfg = cm_util.resolve_LP(C_matrix, duration_matrix, activities, activities_counter)
return dfg, performance_dfg
def resolve_lp_get_dfg(PS_matrix, duration_matrix, activities,
activities_counter):
"""
Resolves a LP problem to get a DFG
Parameters
--------------
PS_matrix
Precede-succeed matrix
duration_matrix
Duration matrix
activities
List of activities of the log_skeleton
activities_counter
Counter of the activities
Returns
--------------
dfg
DFG
performance_dfg
Performance DFG (containing the estimated performance for the arcs)
"""
C_matrix = cm_util.get_c_matrix(PS_matrix, duration_matrix, activities,
activities_counter)
dfg, performance_dfg = cm_util.resolve_LP(C_matrix, duration_matrix,
activities, activities_counter)
return dfg, performance_dfg